Results 21 to 30 of about 1,982,630 (299)
Bayesian Calibration of Car-Following Models
IFAC Proceedings Volumes, 2009 Abstract Recent research has revealed that there exist large inter-driver differences in car-following behavior such that different car-following models may apply to different drivers. This study applies Bayesian techniques to the calibration of car-following models, where prior distributions on each model parameter are converted to posterior ...
Van Hinsbergen, C.P.IJ. (author) +3 more
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Applied Sciences, 2023 Cycling can bring a wide range of social, economic, and health benefits to individuals and communities. The safety and efficiency of bicycle facilities can be significantly impacted by the interactions among riders.
Charitha Dias +4 more
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The Car-Following Model and Its Applications in the V2X Environment: A Historical Review
Future Internet, 2021 The application of vehicle-to-everything (V2X) technology has resulted in the traffic environment being different from how it was in the past. In the V2X environment, the information perception ability of the driver–vehicle unit is greatly enhanced. With
Junyan Han +4 more
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Modelling of Driver and Pedestrian Behaviour – A Historical Review
Promet (Zagreb), 2020 Driver and pedestrian behaviour significantly affect the safety and the flow of traffic at the microscopic and macroscopic levels. The driver behaviour models describe the driver decisions made in different traffic flow conditions.
Karlo Babojelić, Luka Novacko
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Modeling for Micro Traffic Flow with the Consideration of Lateral Vehicle’s Influence
Journal of Advanced Transportation, 2020 In order to make the car-following model describe the driving behavior of vehicle on urban road more accurately, existing car-following models are simulated using measured traffic data. According to the analysis of the simulation result, two new improved
Da-wei Liu, Zhong-ke Shi, Wen-Huan Ai
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A CNN-LSTM Car-Following Model Considering Generalization Ability
Sensors, 2023 To explore the potential relationship between the leading vehicle and the following vehicle during car-following, we proposed a novel car-following model combining a convolutional neural network (CNN) with a long short-term memory (LSTM) network. Firstly,
Pinpin Qin +4 more
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A Stochastic Car Following Model [PDF]
Transportation Research Procedia, 2016 AbstractCar-following models are an essential part of microscopic traffic simulations. For research regarding traffic safety, traffic simulations need to simulate traffic safety related aspects realistically. That means, for example, accidents and near accidents shall occur in the same quantity and in the same way as in reality. Such simulations can be
Kendziorra, Andreas +2 more
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An Extended Car-Following Model at Signalised Intersections
Journal of Advanced Transportation, 2018 An extended car-following model is proposed on the basis of experimental analysis to improve the performance of the traditional car-following model and simulate a microscopic car-following behaviour at signalised intersections.
Hongxing Zhao, Ruichun He, Changxi Ma
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Statistical inference for two-regime stochastic car-following models
, 2020 This paper presents the formulation of a family of two-regime car-following models where both free-flow and congestion regimes obey statistically independent random processes.
Tu Xu, Jorge A. Laval
semanticscholar +1 more source
Incorporating vehicle mix in stimulus-response car-following models
Journal of Traffic and Transportation Engineering (English ed. Online), 2016 The objective of this paper is to incorporate vehicle mix in stimulus-response car-following models. Separate models were estimated for acceleration and deceleration responses to account for vehicle mix via both movement state and vehicle type.
Saidi Siuhi, Mohamed Kaseko
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